Iraqi Journal of Information and communication technology

Since the use of the radio-frequency (RF) portion of the electromagnetic spectrum is growing all the time, new techniques to avoid poor Internet service have become necessary, one of which is Light Fidelity (Li-Fi)technology. Li-Fi is a high-speed communication light source technology that is superior to Wi-Fi in terms of capacity, security, and accessibility. The paper is an experimental work focused on the usage of optical wireless communications (OWCs) in Li-Fi technology for transferring images of various sizes, formats, distances, and baud rates, with the results ranging from (25-280) cm, (1200- 96000) bps, and (4.7- 116) kilobytes with a time of (2.7-166) seconds

Lung cancer has been the most popular form of cancer for decades. Surgery will offer the non-small cell lung cancer (NSCLC) patients the best hope of a cure if the cancer is diagnosed in the early stage. However, many patients eventually die of their disease due to relapse after surgery. Because of no symptoms of lung cancer in its early stage, many researchers try to improve methods to predict lung cancer relapse early. This study proposed a method to predict lung cancer relapse more accurately. This method has three stages; feature selection, parallel e Xtreme Gradient Boost (XG Boost) classifications with different hyperparameters, and selection stage. It used two datasets of a gene expression microarray for different lung cancer types with its clinical information. The accuracy results of the proposed model are 0.88 and 0.83 for both datasets, which are more accurate than the represented machine learning. This multi-construction of the parallel XG Boost gives the system the flexibility to deal with a broader range of datasets without hyperparameters tuning and within a short time

Augmented Reality (AR) refers to a technology that enables users to superimpose digital material(images, audio, and text) on top of a physical environment. The science of human anatomy is the study of the body’s structure and the human body’s organs’ functions. The traditional learning method of human anatomy is based on textbooks and plastic models. The student still faces problems with understanding human anatomy based on these methods. This study aims to create an augmented reality application to address the challenge of seeing and imagining complicated human body anatomy, and also help students to understand the procedure of Total Hip Replacement (THR) surgery and to explore the medical devices used in this surgery. Through the use of an augmented reality-based application, learning human anatomy and the procedure of the surgery will be more pleasant and interactive. AR application was developed using unity3D and Vuforia and then tested using an IOS device. In this AR application, the user performs total hip joint replacement surgery procedures and interactively explores human anatomy. Also, the user may test their knowledge with a quiz about the THR surgery procedure. The Research results show that the AR application received a SUS score of (82.125), indicating that it is user-friendly, recommended, and good according to the SUS range. Additionally, the application helps the students to understand the human anatomy and the procedure of total hip replacement surgery

Over the past decades, wireless networks and devices have experienced intensive growth. Route discovery and selection from device to device (D2D) that are randomly distributed came across services trade-offs. This paper presents an optimal routing technique for the MANET environment-based D2D network. The optimization method considers the Lagrange Multiplier approach to maximize bit rate along with constraints minimization of the latency and packet loss. This method is executed for D2D nodes by active route election for links. An intensive simulation is applied, and the obtained simulation results manifest the effectiveness of the presented Lagrange Optimization of Rate, Delay, and Packet loss algorithm (LORDP) in the optimal routing as compared to the Particle Swarm Optimization (PSO) and Genetic Algorithm (GA).